Eric Johnson
Eric Johnson
@halilduygulu Thanks for using Amazon SageMaker. Currently, we don't have an estimate on upgrading our [pyspark dependency](https://github.com/aws/sagemaker-spark/blob/v1.3.1/sagemaker-pyspark-sdk/setup.py#L104) to [3.0.0](https://pypi.org/project/pyspark/). We are always re-evaluating our backlog of features based on customer...
Hi @mattiamatrix and @krishanunandy . Thanks for the reply. I'm not exactly sure of your set-up, but I noticed from the original post that you were attempting to follow the...
Hello @shaungupta Thank you for using Amazon SageMaker. I looked at your `pip3 freeze` and didn't see the [sagemaker-pyspark](https://pypi.org/project/sagemaker-pyspark/) package from PyPI. Could you provide more detail on your setup?...
### tldr; The hyperparameters should be available. The SageMaker service makes these available in a hyperparameters.json file, and if you've utilized the sagemaker-training-toolkit, read in and made available as environment...
@uwaisiqbal The hyperparameters should be available. The SageMaker service makes these available in a hyperparameters.json file, and if you've utilized the sagemaker-training-toolkit, read in and made available as environment variables...
@BaoshengHeTR For the inference toolkit, the `encoder.encode` method [here](https://github.com/aws/sagemaker-inference-toolkit/blob/v1.3.2/src/sagemaker_inference/encoder.py#L90-L107) will raise an `UnsupportedFormatError` if the `content_type` is not found in the [encoder map](https://github.com/aws/sagemaker-inference-toolkit/blob/v1.3.2/src/sagemaker_inference/encoder.py#L83-L87). The specific string values of the constants...
@BaoshengHeTR Thanks again for contacting us. Let us know if there's anything else we can help with. Best regards.
@MelissaKR thanks for filing the issue. I noticed that your metric definition regex seeks to match `eval-accuracy` which differs slightly from the `dict` key `eval_accuracy` your `metric_fn` returns for your...
Hello @andy-han Thank you for using Amazon SageMaker. Currently, this is unsupported. However, we are always re-evaluating our backlog of features based on customer requests, so we appreciate the feedback...
Hello @iyerr3 , Thank you for using Amazon SageMaker. We are looking into your issue. Will get back to you with an update by 2020-08-20 17:00 Pacific time. Best regards,